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EnterpriseQualityCoding
FizzBuzzEnterpriseEdition
Java2013–2026
EnterpriseQualityCoding / FizzBuzzEnterpriseEdition

FizzBuzzEnterpriseEdition

FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.

216Distinct people
237Mentions
3Explicit recommenders
23.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

Issue #393 - "My printer isn't working" is a highly recommended read in this repository. Every time I thought it couldn't get any worse, someone posts another atrocity. It's a…

ahofmann used a recommendation phrase. 3 indexed comments match. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 7:56:55 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year237 dated mentions

Observed mentions: 2013-03-18 16:29:35 UTC to 2026-10-31 00:51:11 UTC.

01020302013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 14 mentions; 6 submissions, 8 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 15 mentions; 3 submissions, 12 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 11 mentions; 0 submissions, 11 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 19 mentions; 4 submissions, 15 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 15 mentions; 2 submissions, 13 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 19 mentions; 0 submissions, 19 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 16 mentions; 2 submissions, 14 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 11 mentions; 0 submissions, 11 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 23 mentions; 1 submissions, 22 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 28 mentions; 3 submissions, 25 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 19 mentions; 0 submissions, 19 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 15 mentions; 4 submissions, 11 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 19 mentions; 1 submissions, 18 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 13 mentions; 0 submissions, 13 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC1468
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC15312
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC11011
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC19415
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC15213
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC19019
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC16214
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC11011
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC23122
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC28325
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC19019
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC15411
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC19118
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC13013

What Hacker News says

19 sources
> software bloat This came up on another thread here from a blog/article titled "software disenfranchisement". I mentioned that I think a lot of it is an unhealthy obsession with writing re-usable code that results in abstractions on top of abstractions piled onto more abstractions to the point where we get the infamous FizzBuzz Enterprise Edition [0] that I'm sure nearly everyone at HN has seen. We also have a problem of people statically linking massive libraries when they only need a small fraction of its code. > user-hostile decisions that prioritize ads Definitely a problem in mobile web browsing. Ridiculous that on a data-limited connection, ad networks still try to push video ads or ridiculous JavaScript code. > But clock rate is truly meaningless as a performance measure when the underlying architecures are different... Defini
Read the rest
tely true. ARM gets a lot less done per clock tick than x86. But I imagine a lot of the performance differences are done on purpose as a compromise to reduce power consumption, since ARM is so big on mobile platforms. This is entirely speculation on my part, though. [0] https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
In Why Do Computers Use So Much Energy?
I put some of the blame on an unhealthy insistence of code reuseability and sticking to paradigms. The result is so much code that is just abstractions piled onto abstractions piled on to more abstractions until you get the famous FizzBuzz Enterprise Edition [0] that I'm sure we've all seen by now. Nobody wants to just write some god damn code anymore. They include entire frameworks instead of just writing a couple helper functions. [0] https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
In Software disenchantment
To all readers who've never experienced it, working on a large Java (and other) codebases where the original developers completely overused patterns, your life will be hell in my opinion, just as much as a codebase written totally without thought or patterns. Patterns can be useful but only in moderation and only with reason. They're spice. A contrived example, but: https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris... FizzBuzz Enterprise Edition. It's enterprisey!
In Ask HN: How to transition from academic programming to software engineering?
> he seems prone to analysis paralysis and anxiety about raw ability/intelligence. This is what I also gained, and to me, it says that OP has the ability to solve these problems in much less time. I was a lot like OP when I started out. In college, I would get good marks but be one of the last people submitting a test. Whiteboard-style problems would take me forever to complete. I constantly felt that even though I could get it right, it took too long to be of any use. My problem was much of what you said: I was reinventing crude versions of the wheel while spending an inordinate amount of time comparing different ways to solve problems. I'm not some brilliant mind that's going to have a ubiquitous name in the annals of CS. I've just been really good at breaking down problems and tasks, and early on, I was writing things akin to FizzBuzz
Read the rest
EE[0] rather than a 10 line solution that solved the problem. [0]: https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
In Ask HN: Got a CS degree, but I’m unable to be programmer. What can I do?
Leonid Bershidsky and a lot of other journalists laughing at Goldman Sachs' incorrect predictions seem to miss the point. The World Cup predictions from Goldman Sachs (and also UBS) are a form of recreation and entertainment with machine learning. It's an expression of quant nerd humor. Analogous intellectual games would be engineers devising ridiculous Rube Goldberg contraptions[1] or programmers building "enterprise" FizzBuzz[2]. (I think it would add to the fun if GS uploaded their raw data and models to Github for others to play with.) >It certainly didn't predict the final opposing France and Croatia on Sunday. True, but it did predict France having better chance winning overall but was handicapped by a tougher draw. It also predicted France beating Croatia in round 16 instead of the final. The pdf says: >While Germany is more lik
Read the rest
ely to get to the final, France has a marginally higher overall chance of winning the tournament, [1] https://en.wikipedia.org/wiki/Rube_Goldberg_Machine_Contest#... [2] https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
In Goldman Sachs model to predict World Cup game results didn’t come close

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